This presentation is an Introduction to the importance of Data Analytics in Product Management. During this talk Etugo Nwokah, former Chief Product Officer for WellMatch, covered how to define Data Analytics why it should be a first class citizen in any software organization
This presentation briefly explains the following topics:
Why is Data Analytics important?
What is Data Analytics?
Top Data Analytics Tools
How to Become a Data Analyst?
This presentation introduces big data and explains how to generate actionable insights using analytics techniques. The deck explains general steps involved in a typical analytics project and provides a brief overview of the most commonly used predictive analytics methods and their business applications.
Vijay Adamapure is a Data Science Enthusiast with extensive experience in the field of data mining, predictive modeling and machine learning. He has worked on numerous analytics projects ranging from healthcare, business analytics, renewable energy to IoT.
Vijay presented these slides during the Internet of Everything Meetup event 'Predictive Analytics - An Overview' that took place on Jan. 9, 2015 in Mumbai. To join the Meetup group, register here: http://bit.ly/1A7T0A1
This presentation briefly explains the following topics:
Why is Data Analytics important?
What is Data Analytics?
Top Data Analytics Tools
How to Become a Data Analyst?
This presentation introduces big data and explains how to generate actionable insights using analytics techniques. The deck explains general steps involved in a typical analytics project and provides a brief overview of the most commonly used predictive analytics methods and their business applications.
Vijay Adamapure is a Data Science Enthusiast with extensive experience in the field of data mining, predictive modeling and machine learning. He has worked on numerous analytics projects ranging from healthcare, business analytics, renewable energy to IoT.
Vijay presented these slides during the Internet of Everything Meetup event 'Predictive Analytics - An Overview' that took place on Jan. 9, 2015 in Mumbai. To join the Meetup group, register here: http://bit.ly/1A7T0A1
It is an introduction to Data Analytics, its applications in different domains, the stages of Analytics project and the different phases of Data Analytics life cycle.
I deeply acknowledge the sources from which I could consolidate the material.
Gather the required information from the data and predict future outcomes and trends. Use content-ready Predictive Analysis PowerPoint Presentation Slides to forecast future probabilities. Majorly applied in the business field, predictive analysis PPT templates will help you evaluate current data and historical facts to understand customers, products, services, partners, and to identify potential risks and opportunities for an organization. This deck comprises of templates such as research methodology, consumer insights consumption, need for consumer insights, key stats, data collection and processing, consumer insight capabilities, These templates are completely customizable. You can edit the templates as per your need. Change color, text, icon and font size as per your requirement. Add or remove the content, if needed. Get access to the predictive analysis PowerPoint presentation slideshow to predict future outcomes for various business topics such as customer relationship management, health care, collection analytics, fraud detection, risk management, direct marketing, industry applications, etc. Get access to the professionally designed ready-made predictive analysis PowerPoint presentation slides for your business to interpret big data for your benefit. Maintain your demeanour with our Predictive Analysis Powerpoint Presentation Slides. They will help you keep your cool. https://bit.ly/2WktT53
Slides used for a presentation to introduce the field of business analytics. Covers what BA is, how it is a part of business intelligence, and what areas make up BA.
The growth in the use of technology has led organizations to generate data for which they need Data Analytics to analyze the data to make business decisions.
The presentation includes the following topics:
- Introduction to Data Analytics
- Data Analytics Process
- Data Analytics Skills
- Certifications Information for Data Analytics
Data Analytics PowerPoint Presentation SlidesSlideTeam
This complete deck is oriented to make sure you do not lag in your presentations. Our creatively crafted slides come with apt research and planning. This exclusive deck with twenty slides is here to help you to strategize, plan, analyse, or segment the topic with clear understanding and apprehension. Utilize ready to use presentation slides on Data Analytics PowerPoint Presentation Slides with all sorts of editable templates, charts and graphs, overviews, analysis templates. It is usable for marking important decisions and covering critical issues. Display and present all possible kinds of underlying nuances, progress factors for an all inclusive presentation for the teams. This presentation deck can be used by all professionals, managers, individuals, internal external teams involved in any company organization.
In this advanced business analysis training session, you will learn Data Analytics Business Intelligence. Topics covered in this session are:
• What is Business Intelligence?
• Data / information / knowledge
• What is Data Analytics?
• What is Business Analytics?
• What is Big Data?
• Types of Data
• Types of Analytics
• What is Business Intelligence?
For more information, click here: https://www.mindsmapped.com/courses/business-analysis/advanced-business-analyst-training/
Basic Concepts of Business Data Analytics, Evolution of Business Analytics, Data Analytics, Business Data Analytics Applications, Scope of Business Analytics.
Big data Analytics is a process to extract meaningful insight from big such as hidden patterns, unknown correlations, market trends and customer preferences
Expert data analytics prove to be highly transformative when applied in context to corporate business strategies.
This webinar covers various approaches and strategies that will give you a detailed insight into planning and executing your Data Analytics projects.
Data analytics and digital transformation go hand in hand. Data analytics provides the foundation upon which digital transformation can thrive. By harnessing the power of data, organizations can make informed decisions and create personalized experiences for their customers.
It is an introduction to Data Analytics, its applications in different domains, the stages of Analytics project and the different phases of Data Analytics life cycle.
I deeply acknowledge the sources from which I could consolidate the material.
Gather the required information from the data and predict future outcomes and trends. Use content-ready Predictive Analysis PowerPoint Presentation Slides to forecast future probabilities. Majorly applied in the business field, predictive analysis PPT templates will help you evaluate current data and historical facts to understand customers, products, services, partners, and to identify potential risks and opportunities for an organization. This deck comprises of templates such as research methodology, consumer insights consumption, need for consumer insights, key stats, data collection and processing, consumer insight capabilities, These templates are completely customizable. You can edit the templates as per your need. Change color, text, icon and font size as per your requirement. Add or remove the content, if needed. Get access to the predictive analysis PowerPoint presentation slideshow to predict future outcomes for various business topics such as customer relationship management, health care, collection analytics, fraud detection, risk management, direct marketing, industry applications, etc. Get access to the professionally designed ready-made predictive analysis PowerPoint presentation slides for your business to interpret big data for your benefit. Maintain your demeanour with our Predictive Analysis Powerpoint Presentation Slides. They will help you keep your cool. https://bit.ly/2WktT53
Slides used for a presentation to introduce the field of business analytics. Covers what BA is, how it is a part of business intelligence, and what areas make up BA.
The growth in the use of technology has led organizations to generate data for which they need Data Analytics to analyze the data to make business decisions.
The presentation includes the following topics:
- Introduction to Data Analytics
- Data Analytics Process
- Data Analytics Skills
- Certifications Information for Data Analytics
Data Analytics PowerPoint Presentation SlidesSlideTeam
This complete deck is oriented to make sure you do not lag in your presentations. Our creatively crafted slides come with apt research and planning. This exclusive deck with twenty slides is here to help you to strategize, plan, analyse, or segment the topic with clear understanding and apprehension. Utilize ready to use presentation slides on Data Analytics PowerPoint Presentation Slides with all sorts of editable templates, charts and graphs, overviews, analysis templates. It is usable for marking important decisions and covering critical issues. Display and present all possible kinds of underlying nuances, progress factors for an all inclusive presentation for the teams. This presentation deck can be used by all professionals, managers, individuals, internal external teams involved in any company organization.
In this advanced business analysis training session, you will learn Data Analytics Business Intelligence. Topics covered in this session are:
• What is Business Intelligence?
• Data / information / knowledge
• What is Data Analytics?
• What is Business Analytics?
• What is Big Data?
• Types of Data
• Types of Analytics
• What is Business Intelligence?
For more information, click here: https://www.mindsmapped.com/courses/business-analysis/advanced-business-analyst-training/
Basic Concepts of Business Data Analytics, Evolution of Business Analytics, Data Analytics, Business Data Analytics Applications, Scope of Business Analytics.
Big data Analytics is a process to extract meaningful insight from big such as hidden patterns, unknown correlations, market trends and customer preferences
Expert data analytics prove to be highly transformative when applied in context to corporate business strategies.
This webinar covers various approaches and strategies that will give you a detailed insight into planning and executing your Data Analytics projects.
Data analytics and digital transformation go hand in hand. Data analytics provides the foundation upon which digital transformation can thrive. By harnessing the power of data, organizations can make informed decisions and create personalized experiences for their customers.
Unveiling the Power of Data Analytics Transforming Insights into Action.pdfKajal Digital
Data analytics is the process of examining raw data to discover patterns, correlations, trends, and other valuable information. Its significance lies in its ability to transform data into actionable insights, ultimately leading to informed decision-making and improved business outcomes. From optimizing operational processes to enhancing customer experiences, data analytics offers a plethora of benefits across various sectors.
Data Science - Part I - Sustaining Predictive Analytics CapabilitiesDerek Kane
This is the first lecture in a series of data analytics topics and geared to individuals and business professionals who have no understand of building modern analytics approaches. This lecture provides an overview of the models and techniques we will address throughout the lecture series, we will discuss Business Intelligence topics, predictive analytics, and big data technologies. Finally, we will walk through a simple yet effective example which showcases the potential of predictive analytics in a business context.
Data Analytics has become a crucial part of the IT industry, as businesses strive to extract meaningful insights from the massive amounts of data they generate. APTRON's Data Analytics Training in Gurgaon is designed to equip learners with the knowledge and skills required to become proficient in the field.
Operationalizing Customer Analytics with Azure and Power BICCG
Many organizations fail to realize the value of data science teams because they are not effectively translating the analytic findings produced by these teams into quantifiable business results. This webinar demonstrates how to visualize analytic models like churn and turn their output into action. Senior Business Solution Architect, Mike Druta, presents methods for operationalizing analytic models produced by data science teams into a repeatable process that can be automated and applied continuously using Azure.
Data Analytics Certification in Pune-JanuaryDataMites
A data analytics course is an educational program designed to teach individuals the skills and techniques necessary for analyzing and interpreting data to extract meaningful insights.
For more details visit: https://datamites.com/data-analytics-certification-course-training-pune/
A data analytics course is an educational program designed to teach individuals the skills and techniques necessary for analyzing and interpreting data to extract meaningful insights.
For more details visit: https://datamites.com/data-analytics-certification-course-training-chennai/
An efficient data science team is crucial for deriving value from the humongous data a business collect. Learn how the data science team can help in this regard.
Data Analysis Methods 101 - Turning Raw Data Into Actionable InsightsDataSpace Academy
Data analytics is powerful for organisations. It can help companies improve their overall efficiency and effectiveness. The blog offers a step-by-step narration of the data analysis methods that will help you to comprehend the fundamentals of an analytics project.
This is the basic endeavor performed by analyzing the information. Information assessment and collection are performed by qualified, arranged, and capable people called information analysts. The information examination methodology is used in various developments.
Webinar How PMs Use AI to 10X Their Productivity by Product School EiR.pdfProduct School
Explore AI tools hands-on and smoothly integrate them into your work routine. This practical experience is here to empower you, offering insights into the mindset of successful Product Managers. Learn the skills to become a more effective Product Manager.
Main Takeaways:
Hands-On AI Integration:
Learn practical strategies for integrating AI tools into your workflow effectively.
Mindset Insights for Success:
Gain valuable insights into the mindset of successful Product Managers, unlocking the secrets to their achievements.
Skill Empowerment for Growth:
Acquire essential skills that empower your evolution toward becoming a more effective and impactful Product Manager.
Webinar: Using GenAI for Increasing Productivity in PM by Amazon PM LeaderProduct School
In this webinar, you will learn how AI can take work off your plate, allowing you to focus on deep thinking or critical work. Cut out the drudge work in Product Management and get more out of your day.
Learnings:
Improve workflows that are high frequency - "manual tasks"
Increase the quality of output that has high importance - "brainy tasks"
Put GenAI to work today
Unlocking High-Performance Product Teams by former Meta Global PMMProduct School
Main Takeaways:
- High-Performing Team Dynamics: You’ll gain insights into fostering high-performance teamwork.
- Unveiling Team Personas: You’ll learn about different personas in the team and how to foster these differences.
- Decoding the Team Needs x Productivity Equation: You’ll learn about different team needs and how they correlate with engagement and productivity.
RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...BBPMedia1
Marvin neemt je in deze presentatie mee in de voordelen van non-endemic advertising op retail media netwerken. Hij brengt ook de uitdagingen in beeld die de markt op dit moment heeft op het gebied van retail media voor niet-leveranciers.
Retail media wordt gezien als het nieuwe advertising-medium en ook mediabureaus richten massaal retail media-afdelingen op. Merken die niet in de betreffende winkel liggen staan ook nog niet in de rij om op de retail media netwerken te adverteren. Marvin belicht de uitdagingen die er zijn om echt aansluiting te vinden op die markt van non-endemic advertising.
Personal Brand Statement:
As an Army veteran dedicated to lifelong learning, I bring a disciplined, strategic mindset to my pursuits. I am constantly expanding my knowledge to innovate and lead effectively. My journey is driven by a commitment to excellence, and to make a meaningful impact in the world.
LA HUG - Video Testimonials with Chynna Morgan - June 2024Lital Barkan
Have you ever heard that user-generated content or video testimonials can take your brand to the next level? We will explore how you can effectively use video testimonials to leverage and boost your sales, content strategy, and increase your CRM data.🤯
We will dig deeper into:
1. How to capture video testimonials that convert from your audience 🎥
2. How to leverage your testimonials to boost your sales 💲
3. How you can capture more CRM data to understand your audience better through video testimonials. 📊
VAT Registration Outlined In UAE: Benefits and Requirementsuae taxgpt
Vat Registration is a legal obligation for businesses meeting the threshold requirement, helping companies avoid fines and ramifications. Contact now!
https://viralsocialtrends.com/vat-registration-outlined-in-uae/
Unveiling the Secrets How Does Generative AI Work.pdfSam H
At its core, generative artificial intelligence relies on the concept of generative models, which serve as engines that churn out entirely new data resembling their training data. It is like a sculptor who has studied so many forms found in nature and then uses this knowledge to create sculptures from his imagination that have never been seen before anywhere else. If taken to cyberspace, gans work almost the same way.
Affordable Stationery Printing Services in Jaipur | Navpack n PrintNavpack & Print
Looking for professional printing services in Jaipur? Navpack n Print offers high-quality and affordable stationery printing for all your business needs. Stand out with custom stationery designs and fast turnaround times. Contact us today for a quote!
Premium MEAN Stack Development Solutions for Modern BusinessesSynapseIndia
Stay ahead of the curve with our premium MEAN Stack Development Solutions. Our expert developers utilize MongoDB, Express.js, AngularJS, and Node.js to create modern and responsive web applications. Trust us for cutting-edge solutions that drive your business growth and success.
Know more: https://www.synapseindia.com/technology/mean-stack-development-company.html
3.0 Project 2_ Developing My Brand Identity Kit.pptxtanyjahb
A personal brand exploration presentation summarizes an individual's unique qualities and goals, covering strengths, values, passions, and target audience. It helps individuals understand what makes them stand out, their desired image, and how they aim to achieve it.
Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.
Kseniya Leshchenko: Shared development support service model as the way to ma...Lviv Startup Club
Kseniya Leshchenko: Shared development support service model as the way to make small projects with small budgets profitable for the company (UA)
Kyiv PMDay 2024 Summer
Website – www.pmday.org
Youtube – https://www.youtube.com/startuplviv
FB – https://www.facebook.com/pmdayconference
Memorandum Of Association Constitution of Company.pptseri bangash
www.seribangash.com
A Memorandum of Association (MOA) is a legal document that outlines the fundamental principles and objectives upon which a company operates. It serves as the company's charter or constitution and defines the scope of its activities. Here's a detailed note on the MOA:
Contents of Memorandum of Association:
Name Clause: This clause states the name of the company, which should end with words like "Limited" or "Ltd." for a public limited company and "Private Limited" or "Pvt. Ltd." for a private limited company.
https://seribangash.com/article-of-association-is-legal-doc-of-company/
Registered Office Clause: It specifies the location where the company's registered office is situated. This office is where all official communications and notices are sent.
Objective Clause: This clause delineates the main objectives for which the company is formed. It's important to define these objectives clearly, as the company cannot undertake activities beyond those mentioned in this clause.
www.seribangash.com
Liability Clause: It outlines the extent of liability of the company's members. In the case of companies limited by shares, the liability of members is limited to the amount unpaid on their shares. For companies limited by guarantee, members' liability is limited to the amount they undertake to contribute if the company is wound up.
https://seribangash.com/promotors-is-person-conceived-formation-company/
Capital Clause: This clause specifies the authorized capital of the company, i.e., the maximum amount of share capital the company is authorized to issue. It also mentions the division of this capital into shares and their respective nominal value.
Association Clause: It simply states that the subscribers wish to form a company and agree to become members of it, in accordance with the terms of the MOA.
Importance of Memorandum of Association:
Legal Requirement: The MOA is a legal requirement for the formation of a company. It must be filed with the Registrar of Companies during the incorporation process.
Constitutional Document: It serves as the company's constitutional document, defining its scope, powers, and limitations.
Protection of Members: It protects the interests of the company's members by clearly defining the objectives and limiting their liability.
External Communication: It provides clarity to external parties, such as investors, creditors, and regulatory authorities, regarding the company's objectives and powers.
https://seribangash.com/difference-public-and-private-company-law/
Binding Authority: The company and its members are bound by the provisions of the MOA. Any action taken beyond its scope may be considered ultra vires (beyond the powers) of the company and therefore void.
Amendment of MOA:
While the MOA lays down the company's fundamental principles, it is not entirely immutable. It can be amended, but only under specific circumstances and in compliance with legal procedures. Amendments typically require shareholder
Putting the SPARK into Virtual Training.pptxCynthia Clay
This 60-minute webinar, sponsored by Adobe, was delivered for the Training Mag Network. It explored the five elements of SPARK: Storytelling, Purpose, Action, Relationships, and Kudos. Knowing how to tell a well-structured story is key to building long-term memory. Stating a clear purpose that doesn't take away from the discovery learning process is critical. Ensuring that people move from theory to practical application is imperative. Creating strong social learning is the key to commitment and engagement. Validating and affirming participants' comments is the way to create a positive learning environment.
4. Data analytics should be a first-class citizen
Importance of Data Analytics
Data analytics team should
be a key stakeholder
Everyone should ‘own’ the data
10. My first exposure to Data Analytics
for Product Management
2004 2017
11. Data analytics refers to qualitative and
quantitative techniques and processes
used to enhance productivity and
business gain.
12. Data Analytics is not:
Big Data
Artificial Intelligence (“AI”)
or Machine Learning
Data Science
13. Data Science is a concept that unifies
statistics, data analysis and their related
methods in order to understand and
analyze phenomena with data.
It employs techniques and theories drawn
from many fields within the broad areas of
mathematics, statistics, information
science, and computer science.
14. Big Data is defined as high-volume, high-
velocity and high-variety information
assets that demand innovative forms of
information processing for enhanced
insight and decision making.
1012
15. Data Science has several sub-domains
MachineLearning
Visualization
DataMining
ClusterAnalysis
Classification
16. Research and extract information from
various sources to describe the main features
of a data set in support of business operations
and decision making.
Data Analyst/Journalist
Data Scientist
Cleanse data, apply various techniques to
large data sets and create visualizations to
understand to answer more abstract business
questions, provide more predictive insights
and anticipatory behaviors.
23. Liquidity
Breaking down
silos of data
Structural - applications are
optimized for their main function,
not to encourage data sharing
Political - Knowledge is power
Growth - Company evolution
results in different
approaches to data
Vendor - Incentivized to store
data exclusively
29. Organizational Structure - Example
+
Dir of
Product
CPO
Sr Director of
UI/UX
Dir of
Analytics
CEO
Leadership
Team
30. Ensure someone is representing data
on your agile/scrum team
PMPM
UI/U
X
UI/U
X
EngEng
DataData QAQA
Build metrics into user stories to measure success
Build tags into features
Identify R&D opportunties
34. What is this the
problem?
How big is the
problem?
How do we know if
we’ve solved it?Julie Zhou, VP Product Design
Approach to building new
features
Example use of analytics
35. //
Referral
Acquisition
Activation
Retention
# of app downloads
#of registrations
% of users registered
# of physician reviews
# of searches performed
app reviews
Net Promoter Score
Referral Emails
# of unique return users per day
# of sign-ins per month per cohort
% of conversion to desired behavior
Example
Metrics
The funnel is a critically important framework
37. How we used it: Across web and apps, understand
effectiveness of customer campaigns and cursory user
patterns.
Description: Powerful analytics tool describes what users are
doing and how they got to your site/app, but not why they are
behaving a certain way.
//
Acquisition
38. How we used it: Determined primary user focus on homepage
Description: Heat map, scroll maps and click tracking to
understand user focus and what draws their attention
//
Acquisition
39. How we used it: Across web and apps developed deeper
understanding of how users engaging per page and through the
conversion funnel
Description: Behavioral analytics and engagement tool
//
Activation
Retentio
n
40. How we used it: Built a set of custom metrics in our admin tool that
looked similar to the kiss metrics UI interface but more dynamic
Description: set of APIs that allow you to stream, compute,
and visualize events
//
Activation
Retentio
n
41. //
Activation
Retentio
n
Acquisition
How we used it: Funnel analysis, cohort analysis, click behavior
Description: A click-stream technology that auto-tags all of the
activity on your product to enable analytics and insights
42. How we used it: To produce ROI reports and custom reports for our
large employer customers
Description: Data visualization tool focused on business
analytics
44. Help your organization demonstrate the
5 data-driven characteristics
Learn the latest data analytics tools and
methods in the industry
Find the data analytics team
in your organization and make friends
If you don’t have a data team,
be the Lorax for the data
Etugo’s tips:
I am made up of a patchwork of different experiences:
Product Executive with a background in Industrial Engineering, Consultant and also Painter/Artist
•In 1999, a young company based in Los Gatos, California with less than 20 employees and on the edge of going bust. They had a couple experienced co-founders but the problem was that they were stuck at about 300,000 customers. They were essentially providing the same general pay-per-rental movie experience as other big box movie rental stores.There were, as always, some early adopters but generally people didn’t seem very willing to change. The team knew that the service wasn’t better enough to get people to change. Even worse, DVD sales were starting to lag, and a Hollywood backlash further muddied the situation. Then there were challenges with fulfillment logistics, difficulty maintaining DVD quality, and trying to figure out how to do all this in a way that covered costs and generated some cash. There was a product manager on the team knew they needed to do something different.
One of many tests they tried was to move to a subscription service. Get people to sign up for a month and offer them unlimited movies. Would that be perceived as “better enough” to get them to change their media consumption behavior? The good news was that yes, actually, this really did appeal to people. A flat monthly fee and all the videos they could consume sounded pretty awesome. The bad news is that the team created some real problems for themselves. No surprise that Netflix customers wanted to rent mostly newly released feature films, yet these were much more expensive for Netflix to stock, and they would need to stock so many copies of these, that they’d very likely run out of money fast. So the product challenge became how were they going to make sure Netflix customers could watch a set of movies they would love, yet wouldn’t bankrupt the company?
They knew they needed to somehow get customers to want a blend of expensive and less expensive titles. Necessity being the mother of invention, this is where the queue, the ratings system, and the recommendation engine all came from. Those were the technology-powered innovations that enabled the new, much more desirable business model.
Between working with the co-founders on the strategy, validating concepts with the users, assessing the analytics, driving features and functionality with the team, and working with finance on the new business model, marketing on acquisition, and the warehouse on fulfillment, you can imagine the workload Kate faced on a daily basis.
Every time you go shopping, you share intimate details about your consumption patterns with retailers. A columnist for the New York Times wrote about this by taking to a Target statistician Andrew Pole -- before Target freaked out and cut off all communications. about the clues to a customer's impending bundle of joy. Target assigns every customer a Guest ID number, tied to their credit card, name, or email address that becomes a bucket that stores a history of everything they've bought and any demographic information Target has collected from them or bought from other sources.
[Pole] ran test after test, analyzing the data, and before long some useful patterns emerged. Lotions, for example. Lots of people buy lotion, but one of Pole’s colleagues noticed that women on the baby registry were buying larger quantities of unscented lotion around the beginning of their second trimester. Another analyst noted that sometime in the first 20 weeks, pregnant women loaded up on supplements like calcium, magnesium and zinc. Many shoppers purchase soap and cotton balls, but when someone suddenly starts buying lots of scent-free soap and extra-big bags of cotton balls, in addition to hand sanitizers and washcloths, it signals they could be getting close to their delivery date.
My daughter got this in the mail!” he said. “She’s still in high school, and you’re sending her coupons for baby clothes and cribs? Are you trying to encourage her to get pregnant?” The manager didn’t have any idea what the man was talking about. He looked at the mailer. Sure enough, it was addressed to the man’s daughter and contained advertisements for maternity clothing, nursery furniture and pictures of smiling infants. The manager apologized and then called a few days later to apologize again. On the phone, though, the father was somewhat abashed. “I had a talk with my daughter,” he said. “It turns out there’s been some activities in my house I haven’t been completely aware of. She’s due in August. I owe you an apology.”
https://www.forbes.com/sites/kashmirhill/2012/02/16/how-target-figured-out-a-teen-girl-was-pregnant-before-her-father-did/2/#65e63b047e85
Among the bad publicity Uber has got lately from sexual harrassment in the workplace to stealing IP, the one that caught my eye was related to how they used data analytics.
Now it's a story in the New York Times about how Uber dodged authorities worldwide where law enforcement and other officials were running sting operations when Uber wasn't authorized to operate. Using data from the app and other unnamed sources, the company would identify who was working for the government, cancel any rides they ordered, and put up a faked screen of where vehicles were at the time.
Source: https://903ink.onlinebusiness.american.edu/blog/comparing-analytics-data-science/
Predictive, Prescriptive
Interconnected but different disciplines. The lines between analytics and data science can definitely be very blurry.
https://en.wikipedia.org/wiki/Data_science
Source: http://www.sciencedirect.com/science/article/pii/S0268401214001066
One terabyte is considered to be big data. One terabyte stores as much data as would fit on 1500 CDs or 220 DVDs, enough to store around 16 million Facebook photographs. Beaver, Kumar, Li, Sobel, and Vajgel (2010) report that Facebook processes up to one million photographs per second. One petabyte equals 1024 terabytes. Earlier estimates suggest that Facebook stored 260 billion photos using storage space of over 20 petabytes.
Variety refers to the structural heterogeneity in a dataset. Technological advances allow firms to use various types of structured, semi-structured, and unstructured data.
Velocity refers to the rate at which data are generated and the speed at which it should be analyzed and acted upon.
Statistics and modeling; training your model to recognize and anticipate patterns in the data.
Real-time vs non-real time; R&D vs Operational
McKinsey Global Institute found that data-driven organizations are 23 times more likely to acquire customers, six times as likely to retain those customers, and 19 times as likely to be profitable as a result. http://www.ey.com/Publication/vwLUAssets/EY-global-becoming-an-analytics-driven-organization/%24FILE/ey-global-becoming-an-analytics-driven-organization.pdf - E&Y found that surveying thousands of
https://www.entrepreneur.com/article/237326
Metrics define your corporate culture. More than anyone I’ve ever met, Bezos knew that things don’t improve unless they’re measured.
A data-driven culture is meaningless without the support of the CEO and executive team -- and their own willingness to challenge assumptions that they hold dear.
While I was at Amazon, my team proved (65 pages of proof, in fact!) the impact of website load times on sales, and identified the metrics that mattered. Without hesitation, Bezos and Amazon reorganized around a new, even more aggressive method of measuring website performance, changing hundreds of jobs to obsess about these very metrics.
https://hbr.org/2016/12/breaking-down-data-silos
Since the popular emergence of data science as a field, its practitioners have asserted that 80% of the work involved is acquiring and preparing data.
Structural. Software applications are written at one point in time, for a particular group in the company. In a world of limited resources, applications are optimized for their main function. The incentives of individual teams are unlikely to encourage data sharing as a primary requirement. This focus on function, for instance, may result in recent sales being stored in different systems from historical sales, thus presenting an immediate barrier to boosting sales through personal product recommendation.
Political. Knowledge is power, and groups within an organization become suspicious of others wanting to use their data. And often with some justification, as the scope for misuse, even accidental, is broad. Data isn’t a neutral entity — you must interpret it with knowledge of its history and context. This sense of proprietorship can act against the interests of the organization as a whole.
Growth. Any long-lived company has grown through multiple generations of leaders, philosophies, and acquisitions, resulting in multiple incompatible systems. Even if there are no political issues in integrating data, it is costly to reconcile and integrate sets of data that embody different approaches to important business concepts.
Vendor lock-in. Software vendors are among the first to know that access to data is power, and their strategies can frustrate the desire of users to export the data contain in applications. This is particularly dangerous with software-as-a-service applications, where the vendor wants to keep you within their cloud platform. Vendors have also worked hard to create entire job functions and career paths centered around their software. Any hint of move from that world could threaten the livelihood of a trained and certified software professional.
Folks like Larry Page, Elizabeth Warren
Apple typically does development
Avoid the tension with data science/engineering. Ideally this should be the same team.
The product manager is like the Lorax, speaks for the trees. The PM speaks for the customers, the users, others in the organization and the most importantly with data!